A particular population of college men have weights distributed with µ = 80kg and o = 8kg. 5. If it can be assumed that the population is normal, then what is the probability that one man sampled from this population has a weight between 72kg and 88kg? 6. If it can be assumed that the population is normal, then what is the probability that the mean weight of four men sampled from this population lies between 72 and 88kg? 7. If it CANNOT be assumed that the population is normal then the probability that the mean weight of 64 men sampled from this population lies between 79 and 81kg?
A particular population of college men have weights distributed with µ = 80kg and o = 8kg. 5. If it can be assumed that the population is normal, then what is the probability that one man sampled from this population has a weight between 72kg and 88kg? 6. If it can be assumed that the population is normal, then what is the probability that the mean weight of four men sampled from this population lies between 72 and 88kg? 7. If it CANNOT be assumed that the population is normal then the probability that the mean weight of 64 men sampled from this population lies between 79 and 81kg?
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
Problem 8CR
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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